A Dual-Stage SEM-ANN Analysis to Explore Consumer Adoption of Smart Wearable Healthcare Devices

Advances in information technology have included the development of smart wearable healthcare (SWH) devices that potential benefits for consumer health. The adoption SWH is limited, however, compared with other established digital technologies. This study examines determinants consumers’ devices. A conceptual model proposed incorporates health (health beliefs and accuracy), (compatibility functional congruence) attributes into acceptance framework. was tested two steps. Structural equation modelling (SEM) performed 473 usable responses to test hypothesized relationships. artificial neural network (ANN) approach then applied validate outcomes Step 1. SEM analysis indicates all relationships are supported. ANN further validates SEM. findings this dual-stage SEM-ANN methodology will a strong impact on existing literature regarding